To guide upcoming workshops, ASCR seeks papers on management and storage of scientific data, and visualization for science
The U.S. Department of Energy’s (DOE) Advanced Scientific Computing Research (ASCR) program has opened calls for papers on the “management and storage of scientific data” and “visualization for science.”
Call for Position Papers: ASCR Workshop on the Management and Storage of Scientific Data
ASCR is organizing a workshop to identify priority research directions in data management for high-performance and scientific computing above and beyond HPC’s traditional “parallel file system is the data management system” model.
Supporting the breadth of the DOE mission, including the explosion of artificial intelligence (AI) uses and the growing needs of experimental and observational science, motivates revisiting our assumptions about data management. Topics include:
- Interfaces for accessing data that resides on traditional persistent storage as well as on memory devices
- Storage-system architecture design that supports scientific workflows on varied hierarchical storage and networking devices
- Devising metadata management infrastructure to support FAIR principles (Findability, Accessibility, Interoperability, and Reusability)
- Capturing provenance information about scientific data
- Utilizing AI to learn I/O patterns of emerging workloads for efficient data management
- Providing data management support for AI and complex workflows
- Understanding the overlap between traditional storage systems and I/O (SSIO) efforts and data management
The scientific community is invited to provide input in the form of two-page position papers that identify key challenges and opportunities in systems for data management and storage. In addition to providing an avenue for identifying workshop participants, these position papers will be used to shape the workshop agenda, identify panelists, and contribute to the workshop report.
One author of each selected submission will be invited to participate in the workshop. Visit the workshop website to learn more about this opportunity and how to submit a paper.
Call for Position Papers: ASCR Workshop on Visualization for Science
To better understand the open challenges and opportunities for the next generation of visual tools and technologies, ASCR is sponsoring a workshop on “visualization for science.” Topics include:
- Visualizing complex data
- Multimodal data: Vectors, tensors, time series, spectra, multifield, etc.
- High-dimensional data: Abstract parameter space, phase space, optimization landscapes, etc.
- Supporting trusted decision making
- Uncertainty visualization and ensembles: Dealing with probabilistic data, ensembles of outcomes, etc.
- Human factors and usability: Perception, preventing misinterpretation, evaluation standards, etc.
- Interpretability of complex systems: Explainable AI, facilities data, etc.
Exploring new technological frontiers - Visualization for data and technology at the edge: Remote experiments, loT, sensor networks, etc.
- Novel technology for visualization: VR/AR, non-standard displays, AI for visualization, etc.
- Extreme-scale data: Interactive exploration of massive data
- Equity in access to science—Tools and technology to support equal access to relevant data and universally interpretable analysis
The scientific community is invited to provide input in the form of two-page position papers that identify and discuss key challenges and opportunities. The program committee will review these position papers, and selected contributors will have the opportunity to participate in the workshop.
The position papers will shape the workshop agenda, identify panelists, and contribute to the workshop report. All submitted submissions will be published as part of the pre-workshop material, and one author of each selected submission will be invited to participate in the workshop. Visit the workshop website to learn more about this opportunity and how to submit a paper.
# # #This work was supported by the U.S. Department of Energy’s Office of Science, through the Biological and Environmental Research program as part of the Atmospheric System Research program.